scholarly journals Softwarized Attention-Based Context-Aware Group Recommendation Technology in Event-Based Industrial Cyber-Physical Systems

2021 ◽  
pp. 1-1
Author(s):  
Guoqiong Liao ◽  
Xiaomei Huang ◽  
Naixue Xiong ◽  
Changxuan Wan ◽  
Mingsong Mao
Keyword(s):  
Cyber Physical Systems ◽  
Context Aware ◽  
Group Recommendation ◽  
Physical Systems ◽  
Aware Group ◽  
Event Based

scholarly journals Cyber–physical systems and context-aware sensing and computing

2017 ◽  
Vol 117 ◽  
pp. 1-4 ◽  
Author(s):  
Reza Malekian ◽  
Kui Wu ◽  
Gianluca Reali ◽  
Ning Ye ◽  
Kevin Curran
Keyword(s):  
Cyber Physical Systems ◽  
Context Aware ◽  
Physical Systems

scholarly journals Robust Self-Triggered Control for Nonlinear Cyber-Physical Systems with State Constraints under DoS Attacks

2021 ◽  
Author(s):  
Zhaoyang Cuan ◽  
Dawei Ding ◽  
Heng Wang
Keyword(s):  
Control Strategy ◽  
State Constraints ◽  
Denial Of Service ◽  
Cyber Physical Systems ◽  
Dos Attacks ◽  
System Safety ◽  
Physical Systems ◽  
Security Control ◽  
Event Based ◽  
Safety And Stability

Abstract This paper is concerned with the event-based control problem for nonlinear cyber-physical systems (CPSs) with state constraints. A novel security control strategy consisting of a self-triggered mechanism is developed to decrease the network communication loads to the most extent on the basis of ensuring system safety and stability. The maximum capability of the designed self-triggered mechanism to resist denial-of-service (DoS) attacks occurring in controller-actuator (C-A) and sensor-controller (S-C) channels synchronously is also analyzed. In particular, we prove that the security control strategy guarantees the system safety and stability without resulting in Zeno behavior. Finally, a numerical example is provided to demonstrate the prominent effectiveness and the advantages over the existing results.

Measuring a Composition Event Representation Model Based on Multi-Tuple for Cyber-Physical Systems

2014 ◽  
Vol 602-605 ◽  
pp. 2242-2248
Author(s):  
Hui Lin Wang
Keyword(s):  
Dynamic Change ◽  
Temporal Characteristic ◽  
Cyber Physical Systems ◽  
Average Error ◽  
Event Representation ◽  
Physical Systems ◽  
Representation Model ◽  
Time Space ◽  
Event Model ◽  
Event Based

Representation model of composition event is a very important issue in the study of composition event. Aiming to solve the problem of no well reflecting the spatial-temporal characteristic of CPS (Cyber-Physical Systems) in current composition even models, a representation model of composition event based on multi-tuple is proposed for CPS in this paper. The contribution of the paper lies that we use five tuples: object, time, space, event and property, to represent a composition event of CPS, which not only can more comprehensively reflect the spatial-temporal characteristic of CPS event, but also can reflect the some dynamic change features of external environment. The simulation results show that our proposed scheme has several advantages in reducing event average error rate compared with some general event model methods.

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